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Welcome to the UC Berkeley Data Science Curriculum Guide!

Getting started with DataHub tools

Jupyter Notebooks and JupyterHub
R Hub
Shiny
Quarto
VSCode
RetroLab
Real Time Collaboration (RTC)
Use Realtime file sharing using SyncThing
Options to Launch R

Workflow Basics

Create Assignments
Notebook Zero
Creating Accessible Notebook Experience
Upload Files to Github
Distribute Assignments
Collect and Grade Assignments
Download Jupyter Notebook as PDF
Download Datahub home directory contents as archive
Best Practices to Avoid Performance Issues
Launch Cloud Cost Calculator Widget
Securely Push Changes to Github
Generative AI Usecase in DataHub
Work with Large Datasets
Instructional Design Best Practices for Creating Jupyter Notebooks
Sharing information about the Hub

Datahub Frequently Asked Questions (FAQ)

Onboard new users
Package Installations
Elevated privileges
Change existing requirements in the Hub
Troubleshoot issues in DataHub
Troubleshoot issues in Link Generator
Troubleshoot issues in the Python Code
Request new features in the Hub

Resources for Students

Resources for Students
Troubleshooting Tips for Students

Getting Started with Modules and Connectors

What is a Connector course?
- Previous Connectors
What is a Data Science Module?
What is a Data-Enabled Course?

Creating a Connector

Logistics, Rooms, and Technology
Designing Your Syllabus
Requesting Student Help
Joining Communication Channels
Pre-Semester Checklist

Creating a Module

Pre-Planning
Developing the Module
Requesting Deployment Help

Workshop Resources

Instructor Activity

Reference

People
Terms and Abbreviations
Contact

Index

By Christopher Pyles and Balaji Alwar

© Copyright 2022.